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Email classification with temporal features

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1007/978-3-540-39985-8_61
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FormatText, Book Chapter
Abstract
We propose a novel solution to the email classification problem: the integration of temporal information with the traditional content-based classification approaches. We discover temporal relations in an email sequence in the form of temporal sequential patterns and embed the discovered information into contentbased learning methods. The new heterogeneous classification system shows a good performance reducing the classification error by up to 22%.
Publication date
PublisherSpringer
In
  • Intelligent Information Processing and Web Mining (2004): 523–533.
LanguageEnglish
Peer reviewedYes
NRC publication
This is a non-NRC publication

"Non-NRC publications" are publications authored by NRC employees prior to their employment by NRC.

NPARC number23001917
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Record identifier4330003e-496e-4747-891e-cb1846b67089
Record created2017-05-24
Record modified2020-06-12
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